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Saeed Jafari

+1-709-***-****

adbcg4@r.postjobfree.com Home Address : unit 202, 25 Wadland Cresent

St.john’s, NL, Canada

PROFILE

Results-oriented, well-presented, and self-motivated petroleum engineering PhD, DATA Scientist who has extensive knowledge of Python programming, Artificial Intelligence, Machine Learning, reservoir simulation & modelling, and data mining. SELECTED HIGHLIGHTS

Strong knowledge of Data mining and Machine Learning gained with working on the digital oil field project as a postdoctoral fellow in Hibernia EOR Research Group

Strong coding knowledge – gained from taking part in Complete Python bootcamp, algorithm toolbox course, and coding of different oil and gas phenomena

Strong reservoir simulation and modelling knowledge – gained from modelling of different fluid- fluid and rock-fluid interactions in chemical-EOR methods in my PhD, mentoring different PhD students who were working on reservoir simulation projects, and participating in Schlumberger’s reservoir simulation trainings

Strong critical and analytical thinking as well as problem solving skills

Collaborate well in team environment while also functioning well as an individual contributor EDUCATION AND TECHNICAL EXPERIENCE

PhD Oil and Gas Eng., Memorial University of Newfoundland, Canada (GPA:4.0/4.0)

Thesis: The behavior of silica nanoparticles in the multi-phase ionic solutions- enhanced oil recovery implications (Simulation, Experimental & Modeling research) M.Sc. Reservoir Eng., Amirkabir University of Technology, Iran (GPA: 18.6/20 – Ranked 1 st

)

Thesis: Modelling of gas diffusion from fracture to matrix in carbonate reservoirs B.Sc. Petroleum Eng., Sharif University of Technology, Iran (GPA: 17.2/20 – Ranked 3 rd

)

Thesis: Investigation of heavy oil recovery by continuous/WAG injection of CO2 saturated with silica nanoparticles

CERTIFICATES AND SELECTED PROJECTS

Complete Python Bootcamp: Udemy, Dec. 2019

Algorithm and Data Structure Specialization, Coursera, 2019

Machine Learning A-Z™: Hands-On Python & R In Data Science: Udemy, Dec. 2019

Compositional Simulation, Schlumberger, 2019

Digital twin project, Hibernia EOR Research Group

EOR Screening using data mining method, Hibernia EOR Research Group

Development of Reservoir Simulation and Visualization Software using MATLAB (codes are available)

Optimization of WAG injection in core and field scale using Particle Swarm Optimization (PSO) method

Phase behavior simulation by MATLAB (codes are available)

Conducted MATLAB tutorial classes for +200 graduate students PROFESSIONAL EXPERIENCE

PER-COURSE INSTRUCTOR, MEMORIAL UNIVERSITY, CANADA 2019 - ENGI 8694 & 8696 –Instructor of Downstream Processing and Petroleum Refinery, Spring 2019 ENGI 9113 – Instructor of Phase behavior of petroleum fluids, fall 2019 Saeed Jafari

2

HIBERNIA ENHANCED OIL RECOVERY RESEARCH GROUP, CANADA 2019 - Postdoctoral Researcher

Postdoctoral research into efficient development of Enhanced Oil Recovery (EOR) technology application in Hibernia and its surrounding fields.

Digital oil filed group: Using different ML and AI methods to predict the behavior of oil reservoirs, generate relative permeability data, and predict the well performance, water cute, etc.

Mentoring EOR-Screening group: Performed economic, facility, and technical screening of different enhanced oil recovery methods (Chemical-EOR and Miscible/Immiscible WAG) for offshore NL reservoirs (Hibernia & Hebron) – using data mining and reservoir simulation techniques

Mentoring WAG-EOR group: Analyze the feasibility of Miscible/Immiscible WAG injection to offshore NL reservoir through simulation studies – using PVTi, Petrel, Eclipse, and E300 software and optimization of WAG parameters to maximize oil recovery from offshore NL reservoirs RESLAB KISH COMPANY, IRAN 2012- 2015

Reservoir Engineer

Simulation and experimental evaluation of different oil recovery scenarios to maximize oil recovery– using a broad range of commercial simulators such as PVTi, PVTsim, Eclipse, E300, and Petrel

IRANIAN OIL COMPANY, IRAN 2009 (4mos)

Reservoir Engineer intern

Assisting senior reservoir engineers to optimize oil production from oil fields using reservoir simulation techniques

SOFTWARE’S PROFICIENCY

Programming –Python, R, SQL, MATLAB

Reservoir Simulation & Forecasting Tool - Petrel RE, Eclipse 100 and E300

Well Performance Analysis Tools - KAPPA Suites (Saphir, Topaze)

Fluid Analysis Tools - PVTSim. PVTi

Molecular Dynamics Simulation Tools - Gromacs

Data Analysis Tool – Microsoft Excel, Word and PowerPoint OTHER INFORMATION

Volunteering: SPE Conference (2016), SPE Executive Committee (2018)

Mentorship: Provided mentorship to Ph.D, Msc. and Co-op students in Hibernia EOR group

Coaching: Organized tutorial classes in Matlab, PVT, well testing and E100 and E300n for multiple students

Languages: English, Persian, Azerbaijani, Turkish

Permanent Resident of Canada

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